Author

M. Fraschini

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 4

Signature Assays, Organisms & Methods

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Assay:electrophysiology· 4 Research Focus:cell-cell communication· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Organism:human· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

M. Demuru· 3 shared S. M. La Cava· 2 shared S. M. Pani· 2 shared A. Vitale· 1 shared E. D'Aloja· 1 shared G. Bazzano· 1 shared G. L. Marcialis· 1 shared G. Rodriguez· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersBioengineering

M. Demuru

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Author profile →

4 papers

Recent·Most cited

Scorepochs: a computer-aided scoring tool for resting-state M/EEG epochs

M. Fraschini, S. M. La Cava, G. Rodriguez, A. Vitale, M. Demuru

Scorepochs is a tool for automatically scoring resting-state M/EEG epochs to aid in epoch selection, tested on an EEG dataset from 109 subjects.

bioRxiv · May 26, 2020Bioengineering

Subject, session and task effects on power, connectivity and network centrality: a source-based EEG study

S. M. Pani, M. Ciuffi, M. Demuru, G. Bazzano, E. D'Aloja, M. Fraschini

This study examines how subject, session, and task variability affect EEG power, connectivity, and network features using source-reconstructed EEG data.

bioRxiv · Jun 18, 2019Bioengineering

A comparison between power spectral density and network metrics: an EEG study

M. Demuru, S. M. La Cava, S. M. Pani, M. Fraschini

This study compares power spectral density and network metrics from EEG data, showing their correlation depends on the functional connectivity method used.

bioRxiv · Apr 27, 2019Bioengineering

EEG-based personal identification: comparison of different functional connectivity metrics

M. Fraschini, G. L. Marcialis, L. Didaci

This study compares functional connectivity metrics in EEG data to assess their ability to reveal individual-specific patterns of brain connectivity.

bioRxiv · Apr 18, 2018Bioengineering